Papers by Yuzhang Xie

1 papers
CROSSAGENTIE: Cross-Type and Cross-Task Multi-Agent LLM Collaboration for Zero-Shot Information Extraction (2025.findings-acl)

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Challenge: Large language models struggle with producing structured output while maintaining accuracy in zero-shot information extraction (IE)
Approach: They propose a multi-agent framework that enhances zero-shot IE through multi-task collaboration.
Outcome: CROSSAGENTIE outperforms state-of-the-art models in structured prediction . the framework significantly reduces inference cost while preserving accuracy .

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